2002-07-02
AUTHORSAlexander Maedche , Steffen Staab
ABSTRACTOntologies have become an important means for structuring knowledge and building knowledge-intensive systems. For this purpose, efforts have been made to facilitate the ontology engineering process, in particular the acquisition of ontologies from domain texts. We present a general architecture for discovering conceptual structures and engineering ontologies. Based on our generic architecture we describe a case study for mining ontologies from text using methods based on dictionaries and natural language text. The case study has been carried out in the telecommunications domain. Supporting the overall text ontology engineering process, our comprehensive approach combines dictionary parsing mechanisms for acquiring a domain-specific concept taxonomy with a discovery mechanism for the acquisition of non-taxonomic conceptual relations. More... »
PAGES189-202
Knowledge Engineering and Knowledge Management Methods, Models, and Tools
ISBN
978-3-540-41119-2
978-3-540-39967-4
http://scigraph.springernature.com/pub.10.1007/3-540-39967-4_14
DOIhttp://dx.doi.org/10.1007/3-540-39967-4_14
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1007388042
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Artificial Intelligence and Image Processing",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Karlsruhe Institute of Technology",
"id": "https://www.grid.ac/institutes/grid.7892.4",
"name": [
"AIFB, Univ. Karlsruhe, D-76128, Karlsruhe, Germany"
],
"type": "Organization"
},
"familyName": "Maedche",
"givenName": "Alexander",
"id": "sg:person.011157705656.26",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011157705656.26"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Karlsruhe Institute of Technology",
"id": "https://www.grid.ac/institutes/grid.7892.4",
"name": [
"AIFB, Univ. Karlsruhe, D-76128, Karlsruhe, Germany"
],
"type": "Organization"
},
"familyName": "Staab",
"givenName": "Steffen",
"id": "sg:person.013146116631.23",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013146116631.23"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.3115/974557.974588",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005349313"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0743-1066(84)90011-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010442252"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0743-1066(84)90011-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010442252"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1389-1286(00)00039-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018033523"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3115/992133.992154",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044999643"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/64.621227",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061205261"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.7551/mitpress/7287.001.0001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1110625185"
],
"type": "CreativeWork"
}
],
"datePublished": "2002-07-02",
"datePublishedReg": "2002-07-02",
"description": "Ontologies have become an important means for structuring knowledge and building knowledge-intensive systems. For this purpose, efforts have been made to facilitate the ontology engineering process, in particular the acquisition of ontologies from domain texts. We present a general architecture for discovering conceptual structures and engineering ontologies. Based on our generic architecture we describe a case study for mining ontologies from text using methods based on dictionaries and natural language text. The case study has been carried out in the telecommunications domain. Supporting the overall text ontology engineering process, our comprehensive approach combines dictionary parsing mechanisms for acquiring a domain-specific concept taxonomy with a discovery mechanism for the acquisition of non-taxonomic conceptual relations.",
"editor": [
{
"familyName": "Dieng",
"givenName": "Rose",
"type": "Person"
},
{
"familyName": "Corby",
"givenName": "Olivier",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/3-540-39967-4_14",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": {
"isbn": [
"978-3-540-41119-2",
"978-3-540-39967-4"
],
"name": "Knowledge Engineering and Knowledge Management Methods, Models, and Tools",
"type": "Book"
},
"name": "Mining Ontologies from Text",
"pagination": "189-202",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/3-540-39967-4_14"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"2331138ae6d0084d13c67170f86e610cf0e73313fa709db7dff9215777837a9a"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1007388042"
]
}
],
"publisher": {
"location": "Berlin, Heidelberg",
"name": "Springer Berlin Heidelberg",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/3-540-39967-4_14",
"https://app.dimensions.ai/details/publication/pub.1007388042"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-16T05:23",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000345_0000000345/records_64082_00000000.jsonl",
"type": "Chapter",
"url": "https://link.springer.com/10.1007%2F3-540-39967-4_14"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/3-540-39967-4_14'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/3-540-39967-4_14'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/3-540-39967-4_14'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/3-540-39967-4_14'
This table displays all metadata directly associated to this object as RDF triples.
95 TRIPLES
23 PREDICATES
32 URIs
19 LITERALS
8 BLANK NODES